A groundbreaking new method for analyzing wheat yields has been developed by researchers at the University of Sydney. This method uses a combination of machine learning and satellite imagery to accurately and quickly assess how much wheat is being grown in a given region. This method can be used to predict disease outbreaks and yield losses due to extreme weather events. The research team hopes that their findings will help farmers better prepare for and minimize losses due to disease outbreaks and climate-related events. With the help of this new method, wheat farmers will be able to maximize their yields and better protect their crops.

Read Full Article Here

source: Phys.org